83 citations · 304 across the 19 of their papers we have counts for
19 papers
Maximum margin learning of t-SPNs for cell classification with filtered input
Haeyong Kang, Chang D. Yoo, Yongcheon Na
An algorithm based on a deep probabilistic architecture referred to as a tree-structured sum-product network (t-SPN) is considered for cell classification. The t-SPN is constructed…
Learning Imbalanced Datasets with Maximum Margin Loss
Haeyong Kang, Thang Vu, Chang D. Yoo
A learning algorithm referred to as Maximum Margin (MM) is proposed for considering the class-imbalance data learning issue: the trained model tends to predict the majority of clas…
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Tung M. Luu, Chang D. Yoo
This paper proposes a method for prioritizing the replay experience referred to as Hindsight Goal Ranking (HGR) in overcoming the limitation of Hindsight Experience Replay (HER) th…
Structured Co-reference Graph Attention for Video-grounded Dialogue
Junyeong Kim, Sunjae Yoon, Dahyun Kim +1
A video-grounded dialogue system referred to as the Structured Co-reference Graph Attention (SCGA) is presented for decoding the answer sequence to a question regarding a given vid…
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen, Tung M. Luu, Thang Vu +1
Developing an agent in reinforcement learning (RL) that is capable of performing complex control tasks directly from high-dimensional observation such as raw pixels is yet a challe…
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Thanh Nguyen, Tung Luu, Trung Pham +2
Model agnostic meta-learning (MAML) is a popular state-of-the-art meta-learning algorithm that provides good weight initialization of a model given a variety of learning tasks. The…